m-aliabbas/wav2vec2-base-splitted-idrak-exp

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wav2vec2-base-splitted-idrak-exp

This model is a fine-tuned version of facebook/wav2vec2-base on the None dataset. It achieves the following results on the evaluation set:

• —eval_loss: 3.3141
• —eval_wer: 1.0
• —eval_runtime: 17.0978
• —evalsamplesper_second: 34.39
• —evalstepsper_second: 4.328
• —epoch: 4.38
• —step: 2600

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• —learning_rate: 1e-05
• —trainbatchsize: 4
• —evalbatchsize: 8
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —lrschedulerwarmup_steps: 1000
• —num_epochs: 10
• —mixedprecisiontraining: Native AMP

Framework versions

• —Transformers 4.20.1
• —Pytorch 1.12.0+cu116
• —Datasets 2.3.2
• —Tokenizers 0.12.1